With recent advances in transformative technologies, such as the Internet of Things, cloud computing, and mobile devices, jobs have become more knowledge-based. To implement successful technologies in any society, user perception and acceptance are critical. This study aims to identify a range of artificial intelligence (AI) design features applicable to future-oriented, knowledge-based work from a socio-technical perspective. Industrial reports on AI design artifacts appearing from 2015 to 2024 were reviewed to understand how AI can revolutionize business process management by integrating data analytics, automation, and real-time insights. Subsequently, a typological framework for AI design features was proposed, focusing on automation and intelligence as the two primary dimensions. Using this framework, nine AI design features were derived and discussed. A design feature matrix concerning the changing nature of work was constructed using nine AI design features, and the characteristics of each design feature were described in detail for emerging industry cases. The implications of this framework are discussed in terms of future knowledge, socio-materiality, and expected AI-design affordances. The primary contribution of this study is the proposal of a framework of AI design features for knowledge-based future work from a socio-technical perspective, paving the way for Industry 5.0.